Annual 30 m soybean yield mapping in Brazil using long-term satellite observations, climate data and machine learning

Song, X. P., Li, H., Potapov, P., & Hansen, M. C. (2022). Annual 30 m soybean yield mapping in Brazil using long-term satellite observations, climate data and machine learning. Agricultural and Forest Meteorology, 326, 109186.

Researchers: 
Matthew Hansen
Peter Potapov
Xiao-Peng Song
Related projects: 
Soybean Expansion in South America: Quantifying Historical Land-Use Change, Modeling Socioeconomic Drivers and Projecting Future Trajectories
Links to article: 
https://doi.org/10.1016/j.agrformet.2022.109186